from typing import Dict, Any, List
import cv2
import numpy as np
from app.utils.logger import get_logger

logger = get_logger(__name__)


# 文本检测模块
class TextDetectionModule:
    _instance = None
    _initialized = False

    def __new__(cls):
        if cls._instance is None:
            cls._instance = super(TextDetectionModule, cls).__new__(cls)
        return cls._instance

    def __init__(self):
        if not self._initialized:
            logger.info("Initializing TextDetectionModule")
            self._initialized = True

    def detect(self, image_data: bytes) -> Dict[str, Any]:
        """
        检测图像中的文本区域

        Args:
            image_data: 图像字节数据

        Returns:
            文本检测结果
        """
        try:
            # 将字节数据转换为OpenCV图像
            nparr = np.frombuffer(image_data, np.uint8)
            img = cv2.imdecode(nparr, cv2.IMREAD_COLOR)

            # 检测文本区域
            text_regions = self._detect_text_regions(img)

            return {
                "text_regions": text_regions,
                "total_regions": len(text_regions)
            }

        except Exception as e:
            raise RuntimeError(f"Text detection failed: {str(e)}")

    def _detect_text_regions(self, img) -> List[Dict]:
        """检测文本区域"""
        # 模拟文本区域检测结果
        return [
            {
                "bbox": [100, 100, 300, 150],
                "confidence": 0.95,
                "orientation": 0
            },
            {
                "bbox": [100, 200, 400, 250],
                "confidence": 0.92,
                "orientation": 0
            },
            {
                "bbox": [100, 300, 350, 350],
                "confidence": 0.88,
                "orientation": 0
            }
        ]
